A multi-night titration (MNT) process to find an optimal single therapeutic pressure of a CPAP device. This single therapeutic pressure can then be used on an on-going basis by the patient after the titration period. The MNT process differs from current auto adjusting processes used for titration (or ongoing use) in that the MNT process does not respond locally by adjusting pressures to individual events. With existing devices, the continuous adjustment of supplied air pressure always responds to one or a small number of events and thus fails to compensate for a patient's adaptation thereto, resulting in the supply of a less than optimal therapeutic pressure to the patient. While auto adjusting processes often capture and respond well to short-term and transient conditions, the MNT process of the current disclosure seeks to capture long term trends and find the most suitable average single pressure for a patient.

The present invention relates to a plurality of ventilation devices, to ventilation devices having visualization apparatuses, and to methods for operating the ventilation devices. The intent is to minimize the energy input into the at least one airway of a patient as a result of the ventilation.

Module for housing electronic and electromechanical medical equipment including a portable digital camera and processing circuitry with machine vision and machine learning software for automatically documenting healthcare events and healthcare equipment operations in the electronic health record.

In a medical ventilator system, a ventilator (10) delivers ventilation to a ventilated patient (12). Sensors (24, 26) acquire airway pressure and air flow data for the ventilated patient. A probabilistic estimator module (40) estimates respiratory parameters of the ventilated patient by fitting a respiration system model (50) to a data set comprising the acquired airway pressure and air flow data using probabilistic analysis, such as Bayesian analysis, in which the respiratory parameters are represented as random variables. A display component (22) displays the estimated respiratory parameters of the ventilated patient along with confidence or uncertainty data comprising or derived from probability density functions for the random variables representing the estimated respiratory parameters.

The invention relates to a ventilator (1) at least comprising: a gas supply device (2) and a gas discharge device (3), for supplying a first fluid flow (4) to a respiratory tract (5) of a patient and for discharging a second fluid flow (6) from the respiratory tract (5) back into the ventilator (1) or to a surrounding area (7); a pressure sensor (8) for sensing a pressure (9) in the respiratory tract (5); and a control device (10) for operating the ventilator (1); wherein the fluid flow (4, 6) can be set to a constant value at least during an inspiration process (11) and an expiration process (12). The invention further relates to a method for determining at least a tissue-related resistance of a patient by means of a ventilator (1).

The disclosed system and method generates a lung model based on patient data, and determines patient-specific ventilation settings for adjusting an operation of a ventilator. In this manner, the subject technology simulates flow in the lungs of COVID-19 patients to provide insights that guides improved ventilation and/or respiratory treatment strategies

Disclosed is an autoCPAP respirator which comprises a control unit, a respiration blower and a pressure sensor. The control unit comprises a controller for generating a first control signal, which induces the speed of the blower to generate a pressurized breathing gas flow, a controller for generating a periodically variable control signal, which activates the blower such that the speed of the blower varies in an oscillating manner at a frequency in the range of 1-20 Hz, and a sensor device, which ascertains one or more of instantaneous speed, instantaneous electrical current and instantaneous electrical power of the blower to determine the breathing gas flow and/or breathing gas volume generated by the blower while using characteristic data of the blower stored in a memory.

An apparatus and process (100) for processing data (101, 102, 103) obtained by an imaging technique enables an improvement of a determination of quality and quantity of ventilation of the lungs. By including a correction data set KDS determined during one or more inhalation phases, it is determined which effects result from adjustments of pressure levels (PEEP.sub.A, PEEP.sub.B) (81, 82) during ventilation. The result of the determination is provided as an output signal (900).

A process for operating a ventilator (12) and a ventilator (12) operating according to the process are provided. A pressure target value (p.sub.z) is determined during a phase of exhalation (48) as a function of a compliance (C) determined in relation to the lungs (14) of a patient being ventilated by means of the ventilator (12).

A process for operating a ventilator (12) and a ventilator (12) operating according to the process are provided. A pressure target value (p.sub.z) is determined during a phase of exhalation (48) as a function of a compliance (C) determined in relation to the lungs (14) of a patient being ventilated by means of the ventilator (12).